Computational Topic Models for Theological Investigations

Sallie McFague’s theological models construct a tensive relationship between conceptual structures and symbolic, metaphorical language to interpret the defining and elusive aspects of theological phenomena and loci. Computational models of language can extend and formalize the conceptual structures...

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Bibliographische Detailangaben
1. VerfasserIn: Graves, Mark (VerfasserIn)
Medienart: Elektronisch Aufsatz
Sprache:Englisch
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Veröffentlicht: Routledge 2022
In: Theology and science
Jahr: 2022, Band: 20, Heft: 1, Seiten: 69-84
RelBib Classification:KAE Kirchengeschichte 900-1300; Hochmittelalter
NAA Systematische Theologie
VA Philosophie
weitere Schlagwörter:B PAPAL encyclicals
B theological models
B Artificial Intelligence
B topic models
B Thomas Aquinas
B Summa Theologica
B Moral Theology
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Beschreibung
Zusammenfassung:Sallie McFague’s theological models construct a tensive relationship between conceptual structures and symbolic, metaphorical language to interpret the defining and elusive aspects of theological phenomena and loci. Computational models of language can extend and formalize the conceptual structures of theological models to develop computer-augmented interpretations of theological texts. Previously unclear is whether computational models can retain the tensive symbolism essential for theological investigation. I demonstrate affirmatively by constructing a computational topic model of the moral theology of Thomas Aquinas from Summa Theologica (Second Part, in English translation) useful for interpreting not only the Thomistic text but also recent papal encyclicals.
ISSN:1474-6719
Enthält:Enthalten in: Theology and science
Persistent identifiers:DOI: 10.1080/14746700.2021.2012922